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HPC Applications & Performance Engineer

Job in St. Cloud, Saint Cloud, Stearns County, Minnesota, 56301, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-07-20
Job specializations:
  • IT/Tech
    Systems Engineer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 150000 - 190000 USD Yearly USD 150000.00 190000.00 YEAR
Job Description & How to Apply Below
Location: St. Cloud

Responsibilities

  • Provide pre‑and post‑sales technical and benchmarking support to enable HPC or AI customer opportunities
  • Collaborate with HPE product engineering, product management, and marketing to influence current and future product capabilities and direction
  • Evaluate emerging technologies and assess their impact on product differentiation (performance and features) for key customer applications
  • Develop and maintain current knowledge of HPE and competitor HPC/AI products and performance optimization techniques to ensure the team continues to deliver high‑quality benchmark results
  • Lead application‑focused performance studies and projects, and author technical reports and papers that communicate findings and recommendations
Requirements
  • Bachelors, Master’s or PhD degree in computer science, engineering, mathematics, or equivalent
  • 7+ years of demonstrated experience with high‑end HPC systems and performance analysis/tuning of scalable HPC applications
  • Excellent analytical and problem‑solving skills
  • Excellent written and verbal communication skills; mastery of English required
  • U.S. citizenship required
  • Experience with large‑scale HPC systems and software
  • Experience with large‑scale AI systems and software is preferred
  • Detailed understanding of multiprocessor and GPU hardware architectures, capabilities, and parallel programming techniques (e.g., OpenMP, MPI, CUDA, HIP)
  • Proficiency with key industry‑standard HPC benchmarks (e.g., HPL, HPCG, OSU MPI, NCCL/RCCL) on CPUs and GPUs is preferred
  • Experience with performance projection methodologies to model performance of alternate system architectures using performance measurement tools and techniques is preferred
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